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Correcting superconducting gravity time-series using rainfall modelling at the Vienna and Membach stations and application to Earth tide analysis

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Abstract

We demonstrate the possibility to improve the signal-to-noise ratio of superconducting gravity time-series by correcting for local hydrological effects. Short-term atmospheric events associated with heavy rain induce step-like gravity signals that deteriorate the frequency spectrum estimates. Based on 4D modeling constrained by high temporal resolution rain gauge data, rainfall admittances for the Vienna and Membach superconducting gravity stations are calculated. This allows routine correction for Newtonian rain water effects, which reduces the standard deviation of residuals after tidal parameter adjustment by 10%. It also improves the correction of steps of instrumental origin when they coincide with step-like water mass signals.

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Authors and Affiliations

  1. Institute of Meteorology and Geophysics, University Vienna, Althanstrasse 14, 1090, Wien, Austria

    Bruno Meurers

  2. Royal Observatory of Belgium, Seismology, Avenue Circulaire, 3, 1180, Bruxelles, Belgium

    Michel Van Camp & Toon Petermans

Authors
  1. Bruno Meurers
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  2. Michel Van Camp
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  3. Toon Petermans
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Correspondence to Bruno Meurers.

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Meurers, B., Van Camp, M. & Petermans, T. Correcting superconducting gravity time-series using rainfall modelling at the Vienna and Membach stations and application to Earth tide analysis. J Geod 81, 703–712 (2007). https://doi.org/10.1007/s00190-007-0137-1

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  • DOI: https://doi.org/10.1007/s00190-007-0137-1

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